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Remote Entry Level Software Developer Jobs in Toronto, ON

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

Morson Talent

25-183 - Kubernetes Engineer

Oshawa, ON · On-site +1

$60 - $85/hr

CHQ (Hybrid - 3 Days Remote) Job Overview Design and implement cloud-native infrastructure using ... Must have experience around software defined networking and familiar with service mesh like Istio ...

Generac

Senior Mobile Engineer

Toronto, ON · On-site +1

... and remote ecopeeps in the US. We get to work with some of North America and UK's leading ... Operating production mobile software at scale, with a strong focus on reliability, performance, and ...

LocalStack

Sales Engineer

Toronto, ON · Remote

$139K - $231K/yr

The cloud was built to run software, not to support AI-native development workflows. As the world ... and remote team members from 25 countries including 🇺🇸the US, 🇫🇷FR, 🇬🇧UK ...

LocalStack

Head of Product

Toronto, ON · Remote

$238K - $368K/yr

... and remote team members from 25 countries including 🇺🇸the US, 🇫🇷FR, 🇬🇧UK ... Background in software engineering 🌱 Values we hold in LocalStack * Care: we create with ...

Mercor

Frontend Engineer - AI Coding Expert

Toronto, ON · Remote

CA$85/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex engineering tasks. * Review model-generated frontend code for correctness, quality, maintainability ...

Mercor

Data Engineer - AI Coding Expert

Toronto, ON · Remote

CA$80/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

Morson Talent

25-125 FinOps Engineer

Pickering, ON · Remote

$80 - $95/hr

MP4, $80- $95/hr INC Duration: 12 Months Hours of work: 35 Location: (Hybrid - 1 day remote) Temp ... Bachelor's degree in Computer Science, Software Engineering, Finance, or related field. FinOps ...

Generac

Senior Engineer QA

Toronto, ON · On-site +1

... and remote ecopeeps in the US. We get to work with some of North America and UK's leading ... Collaborate closely with embedded software engineers to improve code testability and define ...

LocalStack

Technical Account Manager

Toronto, ON · Remote

$140K - $237K/yr

... and software developers to find and fix risks faster and more effectively than they can in the ... Fully remote * Competitive salary * Unlimited PTO * 401k and private medical * Annual company ...

AfterShip

Solutions Engineer

Toronto, ON · Remote

This is a remote role with a preference for candidates based in Toronto, Ontario or Utah. You will ... Started by our software engineer-turned-CEO, AfterShip is built on curiosity, creativity, and ...

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All JobsSoftware Developer JobsRemote Entry Level Software Developer JobsRemote Entry Level Software Developer Jobs in Toronto, ON

Remote Entry Level Software Developer information

See Toronto, ON salary details

$23.4K

$63.7K

$117.9K

How much do remote entry level software developer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote entry level software developer in Toronto, ON is $63,744.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,717.00 and $73,961.00 per year, depending on experience, location, and employer.

What is the difference between Remote Entry Level Software Developer vs Remote Junior Software Engineer?

AspectRemote Entry Level Software DeveloperRemote Junior Software Engineer
Required CredentialsBasic programming skills, relevant degree or courseworkSimilar, often includes internships or coursework
Work EnvironmentRemote, collaborative teams, entry-level projectsRemote, team-based development, entry-level tasks
Employer & Industry UsageTech companies, startups, software firmsTech industry, software development companies
Search & Comparison IntentYes, often compared for entry-level rolesYes, similar roles often searched together

The main difference between a Remote Entry Level Software Developer and a Remote Junior Software Engineer lies in job titles used by employers, but both roles typically require similar foundational skills, work in remote environments, and are found in tech industries. The titles are often used interchangeably, with slight variations in company preferences. Both are suitable for recent graduates or those starting their software development careers.

What are some common challenges faced by remote entry level software developers, and how can they be addressed?

Remote entry level software developers often face challenges such as limited in-person mentorship, difficulty in building relationships with team members, and adjusting to asynchronous communication. To address these, it's important to proactively seek feedback, regularly participate in virtual meetings, and engage in online team discussions or code reviews. Using collaboration tools and scheduling regular check-ins with a mentor or team lead can greatly enhance learning and integration into the team. Embracing self-discipline and setting a structured daily routine also help in managing tasks and maintaining productivity.

What are the key skills and qualifications needed to thrive as a remote entry level software developer, and why are they important?

To thrive as a Remote Entry Level Software Developer, you need a solid understanding of programming languages (such as Python, Java, or JavaScript), algorithms, and software development fundamentals, usually supported by a relevant degree or coding bootcamp. Familiarity with version control systems like Git, basic cloud platforms, and collaborative tools such as Slack or Jira is commonly required. Strong communication, self-motivation, and time management are crucial soft skills for succeeding in a remote environment. These skills enable you to deliver quality code, collaborate effectively with distributed teams, and adapt to the fast-paced demands of the tech industry.

What does a remote entry level software developer do?

As a remote entry-level software developer, your job is to code programs, troubleshoot problems with an application or framework, and otherwise work from home to support a company's programming needs. In this home-based role, you may use virtual office software to coordinate with other employees, complete tasks assigned to you by senior developers, debug programs that you are still in the process of making, and help analyze the company's future technology needs. A remote entry-level software developer position is typically still a part-time or full-time job for a specific employer, but it may be a contract role where you complete a programming job and move on to another as needed.

What is a remote entry level software developer?

Remote entry level software developers are professionals who work from a location outside of a traditional office, often from home, and are at the beginning of their careers in software development. They typically have foundational knowledge of programming languages and software development practices. Their responsibilities can include writing code, debugging, testing software, and collaborating with other developers online. Remote entry level roles allow new developers to gain industry experience while enjoying the flexibility of working from anywhere. These positions are ideal for recent graduates or career changers looking to start a career in tech.
More about Remote Entry Level Software Developer jobs
What are popular job titles related to Remote Entry Level Software Developer jobs in Toronto, ON? For Remote Entry Level Software Developer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Entry Level Software Developer jobs in Toronto, ON look for? The top searched job categories for Remote Entry Level Software Developer jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Remote Entry Level Software Developer jobs? Cities near Toronto, ON with the most Remote Entry Level Software Developer job openings:
Remote Entry Level Software Developer jobs near you
Infographic showing various Remote Entry Level Software Developer job openings in Toronto, ON as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $63,744 per year, or $30.6 per hour.

Senior Machine Learning Engineer

Career Renew

Toronto, ON • Remote

$165K - $225K/yr

Full-time

Re-posted 17 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.